You are assigned to implement a high-throughput, low-latency service using Spring Boot. How would you leverage WebFlux and Reactive Streams to achieve these requirements?
- Utilize the traditional Spring MVC framework for handling requests and responses.
- Use WebFlux to create reactive endpoints, leverage non-blocking I/O, and work with Reactive Streams to handle high concurrency and achieve low-latency processing.
- Implement a thread-per-request model to ensure that each request is processed in isolation, which guarantees low latency.
- Implement asynchronous tasks using the @Async annotation to achieve high throughput.
To achieve high-throughput and low-latency in a Spring Boot application, leveraging WebFlux and Reactive Streams is essential. Option 2 is the correct choice because it suggests using WebFlux to create reactive endpoints, which allows the application to handle high concurrency without blocking threads, and working with Reactive Streams helps manage data flow in a non-blocking manner. Options 1, 3, and 4 do not align with the goal of achieving high-throughput and low-latency through reactive programming.
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